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Python Object-Oriented Programming

You're reading from   Python Object-Oriented Programming Build robust and maintainable object-oriented Python applications and libraries

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077262
Length 714 pages
Edition 4th Edition
Languages
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Author (1):
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Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
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Table of Contents (17) Chapters Close

Preface 1. Object-Oriented Design 2. Objects in Python FREE CHAPTER 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Abstract Base Classes and Operator Overloading 7. Python Data Structures 8. The Intersection of Object-Oriented and Functional Programming 9. Strings, Serialization, and File Paths 10. The Iterator Pattern 11. Common Design Patterns 12. Advanced Design Patterns 13. Testing Object-Oriented Programs 14. Concurrency 15. Other Books You May Enjoy
16. Index

Serializing objects

We've been working with bytes and file paths as foundations that support working with persistent objects. To make an object persistent, we need to create a series of bytes that represent the state of the object, and write those bytes to a file. The missing piece of persistence, then, is this process of encoding objects as a series of bytes. We also want to decode objects and their relationships from a series of bytes. This encoding and decoding is also described as serializing and deserializing.

When we look at web services, we'll often see a service described as RESTful. The "REST" concept is REpresentational State Transfer; the server and client will exchange representations of object states. The distinction here can be helpful: the two pieces of software don't exchange objects. The applications have their own internal objects; they exchange a representation of object state.

There are several ways to serialize objects. We...

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